Hello,
Have you seen this page?
https://docs.vizycam.com/doku.php?id=wiki:pet_companion2
It’s a guide for creating your own Vizy application and is reasonably easy to follow.
The training of your own network is something we’re targeting for release before September. Image detection/classification CNNs are relatively easy to use (just feed them pictures and get the results – this is what we have now), but building your own CNN detector or classifier is a different level of complexity. We created the birdfeeder network on an AWS machine with special graphics assist for AI. Fortunately, things are much easier now, but it’s taking us some time to set up a reasonably easy path for customers like yourself to follow, so you can create your own network from a set of training images and expect decent results (good speed/accuracy).
If there were expectations that were oversold in the marketing info, we will correct (let us know). Our goal is to provide something that makes these kinds of vision applications much easier to use, deploy, and author. It’s a task that’s taking more time than we originally thought. We have achieved much of that goal with the current software, but there’s still much work to do with image detection/classification (as described) and API documentation – for this we apologize. We will get there though.
Edward
.